Object Detector Binarizing Circuit Shot Noise Handling
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Solution Overview
Problem
Existing object detection technologies face challenges in accurately distinguishing signals from objects due to shot noise, leading to erroneous detection and reduced measurable ranges when threshold voltages are set to prevent noise interference.
Innovation Solution
The object detector employs a binarizing circuit that sets a threshold voltage based on the incidence of shot noise, determining the number of signal outputs required to ensure reliable detection, and uses averaging to separate object signals from noise, optimizing processing speed and range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a high threshold voltage is set to prevent shot noise interference, then false detection is reduced, but the measurable range is reduced and object signals may be missed
Solution Approach 1:
The system performs preliminary actions by conducting multiple object detection processes in advance before making a final determination. By accumulating detection results from multiple processes with the same light emission, the system can distinguish true object signals from shot noise, thereby maintaining high threshold voltage benefits while extending measurable range.
Solution Approach 2:
The system uses periodic action by repeating object detection processes multiple times with the same light emission. This periodic repetition allows the system to accumulate sufficient signal counts to overcome noise, resolving the contradiction between using high thresholds for reliability and maintaining measurable range.
2Measurement precision
If multiple object detection processes are performed to distinguish signals from shot noise, then detection accuracy is improved, but processing time is increased
Solution Approach 1:
The system extracts only the necessary information by determining whether a specific number of signals are detected within a predetermined time period. This extraction approach allows the system to achieve accurate detection through multiple processes without requiring complete processing of all possible data, thereby reducing processing time while maintaining detection accuracy.
3Reliability
If the number of signal outputs M is increased to ensure reliable detection, then detection reliability is improved, but processing speed is reduced
Solution Approach 1:
The system applies partial action by determining detection reliability based on whether a specific number of signals are detected, rather than requiring all possible signals. This partial approach achieves sufficient detection reliability without the excessive processing time that would result from requiring all M signals, thus balancing reliability and processing speed.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces erroneous detection and enhances processing speed while maintaining a reliable detection of object signals across the measurable range, improving the accuracy and efficiency of object detection.
Implementation Method 1
a photoreceptor configured to receive the light reflected by an object, and a binarizing circuit configured to binarize a signal sent from the photoreceptor
Data Source
AI summary
First and second types of object detectors, a sensing device, and a mobile apparatus. The first and second types of object detectors include a light source configured to emit light, photoreceptor configured to receive the light reflected by an object, and a binarizing circuit configured to binarize a signal sent from the photoreceptor at a threshold Vth. In the first and second types of object detectors, object detection processes are performed in a same direction until a high-level signal is output M times from the signal binarized by the binarizing circuit. In the first type of object detector, a value of the M is determined based on an incidence of shot noise where peak intensity exceeds the threshold Vth in the photoreceptor. In the second type of object detector, a threshold Vth is set based on a value of the M.


